Radical uncertainty changes the way we should think about decision-making. For over half a century economics has assumed that people behave rationally by optimizing among well-defined choices. Behavioral economics questioned how far people are rational, pointing to the cognitive biases that seem to describe actual behavior.

Robert Sapolsky’s Behave, his now classic account of why humans do good and why they do bad, pointed toward an unsettling conclusion: We may not grasp the precise marriage of nature and nurture that creates the physics and chemistry at the base of human behavior, but that doesn’t mean it doesn’t exist. Now, in Determined, Sapolsky takes his argument all the way, mounting a brilliant (and in his inimitable way, delightful) full-frontal assault on the pleasant fantasy that there is some separate self telling our biology what to do.

We are approaching a critical threshold in the history of our species. Everything is about to change. Soon you will live surrounded by AIs. They will organize your life, operate your business, and run core government services. You will live in a world of DNA printers and quantum computers, engineered pathogens and autonomous weapons, robot assistants and abundant energy. None of us are prepared. As co-founder of DeepMind, part of Google, Mustafa Suleyman has been at the center of this revolution. The coming decade, he argues, will be defined by this wave of powerful new technologies.

Twenty-five years ago, Neil Howe and the late William Strauss dazzled the world with a provocative new theory of American history. Looking back at the last 500 years, they’d uncovered a distinct pattern: modern history moves in cycles, each one lasting roughly 80 to 100 years, the length of a long human life, with each cycle composed of four eras—or “turnings”—that always arrive in the same order and each last about 25 years. The last of these eras—the fourth turning—was always the most perilous, a period of civic upheaval and national mobilization.

In The 10X Mentor, available exclusively in audio via Audible, Grant Cardone—business titan, entrepreneur, real estate mogul, New York Times best-selling author, thought leader, philanthropist, and founder of the 10X Growth Conference—takes listeners underwing to teach them the fundamentals of his success, and not just modest success: We’re talking 10X success.

Over the last decade, a single innovation has massively fueled digital black markets: cryptocurrency. Crime lords inhabiting lawless corners of the internet have operated more freely—whether in drug dealing, money laundering, or human trafficking—than their analog counterparts could have ever dreamed of. By transacting not in dollars or pounds but in currencies with anonymous ledgers, overseen by no government, beholden to no bankers, these black marketeers have sought to rob law enforcement of their chief method of cracking down on illicit finance: following the money.

What is genius? The word evokes iconic figures like Einstein, Beethoven, Picasso, and Steve Jobs, whose cultural contributions have irreversibly shaped society. Yet Beethoven could not multiply. Picasso couldn’t pass a fourth grade math test. And Jobs left high school with a 2.65 GPA. The Hidden Habits of Genius explores the meaning of this contested term, and the unexpected motivations of those we have dubbed "genius" throughout history, from Charles Darwin and Marie Curie to Leonardo Da Vinci and Andy Warhol to Toni Morrison and Elon Musk.

In an audiobook that challenges everything you thought you knew, W. Chan Kim and Renee Mauborgne assert that tomorrow's leading companies will succeed, not by battling their rivals for market share in the bloody "red ocean" of a shrinking profit pool, but by creating "blue oceans" of untapped new market spaces ripe for growth.

We live in an extraordinary time. Technological advances are happening at a rate faster than our ability to understand them, and in a world that moves faster than we can imagine, we cannot afford to stand still. These advances bring efficiency and abundance - and they are profoundly deflationary. Our economic systems were built for a pre-technology era when labor and capital were inextricably linked - an era that counted on growth and inflation and an era where we made money from inefficiency.

The new question: Ten years after the worldwide bestseller Good to Great, Jim Collins returns to ask: Why do some companies thrive in uncertainty, even chaos, and others do not? In Great by Choice, Collins and his colleague, Morten T. Hansen, enumerate the principles for building a truly great enterprise in unpredictable, tumultuous, and fast-moving times. The new study: Great by Choice distinguishes itself from Collins’s prior work by its focus on the type of unstable environments faced by leaders today.

Developing and implementing a strategy is the central task of a leader. A good strategy is a specific and coherent response to - and approach for - overcoming the obstacles to progress. A good strategy works by harnessing and applying power where it will have the greatest effect. Yet, Rumelt shows that there has been a growing and unfortunate tendency to equate Mom-and-apple-pie values, fluffy packages of buzzwords, motivational slogans, and financial goals with “strategy”.

Artificial intelligence does the seemingly impossible - driving cars, trading stocks, and teaching children. But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by CEOs, managers, policy makers, investors, and entrepreneurs.

In business, performance is key. In performance, how you organize can be the key to growth. In the past five years, the business world has seen the birth of a new breed of company - the Exponential Organization - that has revolutionized how a company can accelerate its growth by using technology.

Clayton M. Christensen is a professor of business administration at Harvard Business School. Michael E. Raynor is a director at Deloitte Research. Together, they outline an innovative plan that urges businesses to create disruption rather than fleeing from it. Named one of 2003's Best Business Books by Business Week, this book is a Wall Street Journal and New York Times best seller.

The world's greatest problem-solvers, forecasters, and decision-makers all rely on a set of frameworks and shortcuts that help them cut through complexity and separate good ideas from bad ones. They're called mental models, and you can find them in dense textbooks on psychology, physics, economics, and more. Or, you can just listen to Super Thinking, a fun, illustrated guide to every mental model you could possibly need.

In their bestselling first book, Prediction Machines, eminent economists Ajay Agrawal, Joshua Gans, and Avi Goldfarb explained the simple yet game-changing economics of AI. Now, in Power and Prediction, they go deeper, examining the most basic unit of analysis: the decision. The authors explain that the two key decision-making ingredients are prediction and judgment, and we perform both together in our minds, often without realizing it.

What to Do When Machines Do Everything is a guidebook to succeeding in the next generation of the digital economy. When systems running on artificial intelligence can drive our cars, diagnose medical patients, and manage our finances more effectively than humans, it raises profound questions on the future of work and how companies compete.

In The Attacker's Advantage, Charan reveals the upside of uncertainty for those leaders who are nimbly positioned to anticipate the catalysts of disruption and embrace change. He updates and adapts the principles of his previous best sellers to address the current turbulent business environment, cutting through the veil of complexity to concentrate on the new customer needs and expectations and providing the tools for corporate leaders to take their companies to a higher level.

To make these big moves happen for your company, you’re going to have to break through inertia, gamesmanship, and risk aversion. You’re going to have to mitigate human biases and manage group dynamics. Eight practical shifts can help you do this, and unlock bigger, bolder, better strategies. This is not another by-the-book approach to strategy. It’s not another trudge through frameworks or small-scale case studies promising a secret formula for success. It’s an irreverent, fact-driven, and humorous take on the real world of strategic decision making.

Imagine what Atari might have achieved if Steve Jobs had stayed there to develop the first massmarket personal computer. Or what Steve Case might have done for PepsiCo if he hadn't left for a gaming start-up that eventually became AOL. What if Salomon Brothers had kept Michael Bloomberg, or Bear Stearns had exploited the inventive ideas of Stephen Ross? Scores of top-tier entrepreneurs worked for established corporations before they struck out on their own and became self-made billionaires.

As venture capitalist Alexandre Lazarow shows in this insightful and instructive book, this Silicon Valley "gospel" is due for a refresh - and it comes from what he calls the "frontier", the growing constellation of startup ecosystems, outside of the Valley and other major economic centers, that now stretches across the globe. The frontier is a truly different world where startups often must cope with political or economic instability and lack of infrastructure, and where there might be little or no access to angel investors, venture capitalists, or experienced employee pools.

Many people today are so dazzled by the long-term potential for artificial intelligence that they overlook the much clearer and more immediate potential for a new form of "collective intelligence": the intelligence of groups of people and computers working together. In Superminds, Thomas Malone explains what we need to do to take advantage of this potential. Groundbreaking and utterly fascinating, Superminds will change the way you work - both with others and with computers - for the better.

Moments of Impact is an audiobook on a mission: to eradicate time-sucking, energy-depleting workshops and meetings. In our fast-changing world, organizations have important challenges and opportunities to address - and no time to waste. Moments of Impact delivers the single most useful resource for managers and leaders who need better strategic conversation - now - to shape the future of their organizations.

In The Second Machine Age, Andrew McAfee and Erik Brynjolfsson predicted some of the far-reaching effects of digital technologies on our lives and businesses. Now they’ve written a guide to help listeners make the most of our collective future. Machine | Platform | Crowd outlines the opportunities and challenges inherent in the science fiction technologies that have come to life in recent years, like self-driving cars and 3D printers, online platforms for renting outfits and scheduling workouts, or crowd-sourced medical research and financial instruments.

Look around you. Artificial intelligence is no longer just a futuristic notion. It's here right now - in software that senses what we need, supply chains that "think" in real time, and robots that respond to changes in their environment. Twenty-first-century pioneer companies are already using AI to innovate and grow fast. The bottom line is this: Businesses that understand how to harness AI can surge ahead. Those that neglect it will fall behind. Which side are you on?

Katrina. Haiti. BP. Fukushima. The Great Recession. Those are just a few of the catastrophic disruptions the world has endured in recent years. As we try to respond to such crises, key questions arise: What causes one system to break under great stress and another to rebound? How much change can a complex system absorb while still retaining its purpose and function? What characteristics make it adaptive to change? Provocative and eye-opening, Resilience sheds light on the nature of change.

In the past few years, a number of well-known firms have failed; think of Blockbuster, Kodak, or RadioShack. When we hear about their demise, it often seems inevitable - a natural part of "creative destruction." But closer examination reveals a disturbing truth: Companies large and small are shuttering more quickly than ever. What does it take to buck this trend? The simple answer is: ambidexterity. Firms must remain competitive in their core markets, while also winning in new domains.

The confluence of four technologies - elastic cloud computing, big data, artificial intelligence, and the internet of things - writes Siebel, is fundamentally changing how business and government will operate in the 21st century. Siebel masterfully guides listeners through a fascinating discussion of the game-changing technologies driving digital transformation and provides a roadmap to seize them as a strategic opportunity.

Built To Last, the defining management study of the 90s, showed how great companies triumph over time and how long-term sustained performance can be engineered into the DNA of an enterprise from the very beginning. But what about companies that are not born with great DNA? How can good companies, mediocre companies, even bad companies achieve enduring greatness?

We struggle to manage complexity every day. We follow intricate diets to lose weight, juggle multiple remotes to operate our home entertainment systems, face proliferating data at the office, and hack through thickets of regulation at tax time. But complexity isn't destiny. Sull and Eisenhardt argue there's a better way: by developing a few simple yet effective rules, you can tackle even the most complex problems.